Deccan AI

Name

Deccan AI

Legal name

Deccan AI, Inc

Website

https://deccan.ai

Company type

Private

Founded year

2024

Operating status

Operating

Headcount range

51–100 employees

Ownership category

akta.pro rank

Product category

AI Data and Operations Platform

NAICS

Software Publishers (5132), Custom Computer Programming Services (541511)

SIC

Services-Prepackaged Software (7372), Services-Computer Programming Services (7371)

akta.pro industry

PRIMARYHDAEANAA

End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management)

Hardware, Technology & Telecom/Enterprise Platforms & Databases/Artificial Intelligence Platforms for Enterprise

SECONDARYHDAEANAC

Model Serving, Inference & Deployment Platforms (APIs, Edge/On-Prem)

Hardware, Technology & Telecom/Enterprise Platforms & Databases/Artificial Intelligence Platforms for Enterprise

Keywords

• AI training data
• RLHF data services
• Reinforcement learning environments
• Enterprise AI agents
• AI model evaluation

Headquarters

HQ city

Mountain View

HQ country

United States

HQ region

North America

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure

Core offering

Deccan AI builds an integrated AI data and operations platform comprising three core modules: STARK RL (code-based containerized reinforcement learning environments with multi-step verifiers), Helix Evals (an enterprise evaluation suite combining automated and human-in-the-loop scoring), and EnterpriseOS Agents (an AI-native operations infrastructure that executes enterprise workflows). These modules are supported by Deccan Datasets (curated post-training data across agentic, coding, multimodal, alignment, and physical intelligence categories) and tooling such as Databench, Deccan Freestyle, and Deccan AI Studio, delivered to frontier AI labs and large enterprises through self-managed, co-managed, and fully managed engagement models.

Product overview

Deccan AI offers a unified AI data and operations platform organized around three core product modules: (1) STARK RL — reinforcement learning environments for training agents; (2) Helix Evals — an enterprise evaluation suite combining automated and human-in-the-loop scoring; and (3) EnterpriseOS Agents — AI-native operations infrastructure that runs enterprise workflows. These core modules are supported by Deccan Datasets (curated post-training data across agentic, coding, multimodal, alignment, and physical intelligence categories), Databench (annotation platform), Deccan Freestyle (no-code annotation interface builder), and Deccan AI Studio (agent development environment). The three core modules cover the full lifecycle of training (STARK), evaluating (Helix), and deploying (EnterpriseOS) AI agents, while the supporting sub-products power the data and tooling layer that fuels that lifecycle. The company delivers both frontier-lab AI training data services and enterprise automation solutions, with separate end-to-end offerings such as banking AI agents, retail AI agents, and AI-enabled operations (compliance, customer support, document processing).

Differentiator

Problem solved

Functional benefit

Brands

• STARK: Simulated environments, Trajectories, and Agentic RL Kit - Deccan AI's RL gym for training and evaluating AI agents in enterprise-grade environments.
• Helix
• EnterpriseOS
• Deccan Freestyle
• Databench

Products and services

• STARK RL Enterprise-grade reinforcement learning gym ("Simulated environments, Trajectories, and Agentic RL Kit") providing code-based containerized environments with five-step verifiers (trace-level path checks, end-state communication checks, SQL-grounded state verification), SME-authored tasks, and a Python SDK. Supports tool-use, browser-use, computer-use, and coding/software engineering RL gyms that mirror real enterprise workflows, for frontier AI labs and enterprises training AI agents.
• Helix Evals Enterprise Eval Suite combining automated AI evaluation with human expert evaluation for continuous agent monitoring, drift detection, and dynamic AI + human evals. Helix scores live production traces against defined rubrics in real time with threshold breach alerts, configurable AI-to-human eval ratios, and expert-designed prompts, rubrics, and scenarios, for enterprises and labs validating AI agents in production.
• EnterpriseOS Agents AI-Native Operations Infrastructure platform that turns business processes into agent-executed workflows for enterprise and GCC operations. Features four layers (Process Studio, Workflow Agents, Helix monitoring, Reinforcement Loop) with humans-in-the-loop at every step, supports BFSI, Pharma, Industrial, Healthcare, HR, Procurement, IT service management, and Finance Ops, and is cloud-agnostic, model-agnostic, and integration-first with Salesforce, Databricks, Snowflake, Slack, and ServiceNow.
• Databench Purpose-built annotation platform providing tasking, assessment, and expert management for human-in-the-loop data pipelines, with linters, code compilers, LaTeX editors, and LLM-based validators for real-time dataset curation and validation.
• Deccan Freestyle No-code drag-and-drop annotation interface builder supporting LiDAR scans, 3D medical imagery, code editors and compilers, LaTeX rendering, custom AI pipelines, 3D scans/maps/schematics, rich text, and JSON, enabling teams to design bespoke annotation interfaces in hours.
• Deccan AI Studio In-house platform for building, designing, testing, and observing AI agents using predefined templates and organization-specific data, with a UI Builder, real-time orchestration and monitoring, and a Sandbox environment for simulating real-world scenarios.
• Deccan Datasets Expert-curated datasets spanning Agentic, Coding, Functional Stream (Deep Research, STEM, Investment Banking), Multimodal, Model Alignment, and Physical Intelligence categories, delivered via the data.deccan.ai platform with off-the-shelf and custom data packs and 48-hour sample delivery.

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration5 records

AI capability18 records

Recent moves7 records

Expansion highlights5 records

Direct peers

• Scale AI: Scale AI is the leading AI training data provider offering RLHF, SFT, evaluation, and RL environments for frontier AI labs and the U.S. government. It is the most direct competitor to Deccan AI across SFT/RLHF data, evals, and increasingly RL environments and agent tooling.
• Surge AI: Surge AI is a high-quality AI training data platform specializing in RLHF preference data and expert-labeled datasets for frontier foundation models. It directly competes with Deccan AI on quality positioning for SFT, RLHF, and frontier-lab data services.
• Labelbox: Labelbox is a data labeling and annotation platform serving enterprise AI teams, with model evaluation and workflow tooling. It overlaps with Deccan AI's Databench annotation platform and Helix eval positioning for enterprise customers.
• Snorkel AI: Snorkel AI provides programmatic data labeling, weak supervision, and enterprise AI data development tools. It is a direct competitor in the enterprise AI data space, particularly where programmatic + human labeling pipelines are required.
• Invisible: Invisible is an AI training data and operations provider offering human-in-the-loop workflows, RLHF, and agent support services. It is a direct competitor to Deccan AI's expert-driven training data delivery and enterprise agent operations.
• Toloka AI: Toloka AI is a crowdsourced data labeling platform with a global contributor base, offering SFT, RLHF, and evaluation data for AI models. It directly competes with Deccan AI on expert-driven data labeling and crowd operations, particularly for foundation model customers.
• SuperAnnotate: SuperAnnotate is an AI data annotation platform offering multimodal labeling, MLOps integration, and enterprise workflows. It overlaps with Deccan AI's Databench and Deccan Freestyle annotation tooling for multimodal AI training data.

Broad incumbents

• Appen: Appen is a publicly traded global leader in training data for AI, with a deep enterprise customer base across BFSI, retail, and government. It competes with Deccan AI in annotation services, though with a broader, more commoditized portfolio rather than Deccan AI's frontier-lab focus.
• Amazon SageMaker Ground Truth: AWS SageMaker Ground Truth is the hyperscaler-scale managed data labeling service integrated into the AWS ecosystem. It represents the broad-incumbent competitive threat to Deccan AI's enterprise data services through platform bundling and AWS's installed base.

Emerging players

• Moveworks: Moveworks is an enterprise AI agent platform automating IT service management, HR, and employee support workflows. It is comparable to Deccan AI's EnterpriseOS Agents for ITSM and enterprise workflow automation, though Moveworks focuses narrowly on employee experience while EnterpriseOS targets broader regulated workflows.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/Deccan_AI
• LinkedInlinkedin.com/company/ai-deccan

Compliance4 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles11 records

Subsidiaries1 record

Funding overview

Funding rounds2 records

Investors3 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Deccan AI